| 2024 | A Comparative Study on Large Language Models for Log Parsing. Merve Astekin, Max Hort, Leon Moonen |
| 2024 | A Transformer-based Approach for Augmenting Software Engineering Chatbots Datasets. Ahmad Abdellatif, Khaled Badran, Diego Elias Costa, Emad Shihab |
| 2024 | An Empirical Study of API Misuses of Data-Centric Libraries. Akalanka Galappaththi, Sarah Nadi, Christoph Treude |
| 2024 | An Exploratory Mixed-methods Study on General Data Protection Regulation (GDPR) Compliance in Open-Source Software. Lucas Franke, Huayu Liang, Sahar Farzanehpour, Aaron Brantly, James C. Davis, Chris Brown |
| 2024 | An Exploratory Study on Soft Skills present in Software Positions in Cyprus: a quasi-Replication Study. Georgia M. Kapitsaki, Loukas Chatzivasili, Maria Papoutsoglou, Matthias Galster |
| 2024 | An Investigation of How Software Developers Read Machine Learning Code. Thomas Weber, Christina Winiker, Sven Mayer |
| 2024 | Are Large Language Models a Threat to Programming Platforms? An Exploratory Study. Md Mustakim Billah, Palash Ranjan Roy, Zadia Codabux, Banani Roy |
| 2024 | Automated Code-centric Software Vulnerability Assessment: How Far Are We? An Empirical Study in C/C++. Anh The Nguyen, Triet Huynh Minh Le, Muhammad Ali Babar |
| 2024 | Automatic Categorization of GitHub Actions with Transformers and Few-shot Learning. Phuong T. Nguyen, Juri Di Rocco, Claudio Di Sipio, Mudita Shakya, Davide Di Ruscio, Massimiliano Di Penta |
| 2024 | Automatic Data Labeling for Software Vulnerability Prediction Models: How Far Are We? Triet Huynh Minh Le, Muhammad Ali Babar |
| 2024 | Automatic Library Migration Using Large Language Models: First Results. Aylton Almeida, Laerte Xavier, Marco Túlio Valente |
| 2024 | Beyond Words: On Large Language Models Actionability in Mission-Critical Risk Analysis. Matteo Esposito, Francesco Palagiano, Valentina Lenarduzzi, Davide Taibi |
| 2024 | Broken Agreement: The Evolution of Solidity Error Handling. Charalambos Mitropoulos, Maria Kechagia, Chrysostomos Maschas, Sotirios Ioannidis, Federica Sarro, Dimitrios Mitropoulos |
| 2024 | Can ChatGPT emulate humans in software engineering surveys? Igor Steinmacher, Jacob McAuley Penney, Kátia Romero Felizardo, Alessandro F. Garcia, Marco Aurélio Gerosa |
| 2024 | ChatGPT application in Systematic Literature Reviews in Software Engineering: an evaluation of its accuracy to support the selection activity. Kátia Romero Felizardo, Márcia Sampaio Lima, Anderson Deizepe, Tayana Uchôa Conte, Igor Steinmacher |
| 2024 | ChatGPT's Potential in Cryptography Misuse Detection: A Comparative Analysis with Static Analysis Tools. Ehsan Firouzi, Mohammad Ghafari, Mike Ebrahimi |
| 2024 | Code Clone Configuration as a Multi-Objective Search Problem. Denis Sousa, Matheus Paixão, Chaiyong Ragkhitwetsagul, Italo Uchoa |
| 2024 | Contexts Matter: An Empirical Study on Contextual Influence in Fairness Testing for Deep Learning Systems. Chengwen Du, Tao Chen |
| 2024 | Continuous Quality Improvement of AI-based Systems: the QualAI Project. Nicole Novielli, Rocco Oliveto, Fabio Palomba, Fabio Calefato, Giuseppe Colavito, Vincenzo De Martino, Antonio Della Porta, Giammaria Giordano, Emanuela Guglielmi, Filippo Lanubile, Luigi Quaranta, Gilberto Recupito, Simone Scalabrino, Angelica Spina, Antonio Vitale |
| 2024 | Cross-Language Dependencies: An Empirical Study of Kotlin-Java. Qiong Feng, Huan Ji, Xiaotian Ma, Peng Liang |
| 2024 | Crossover Designs in Software Engineering Experiments: Review of the State of Analysis. Julian Frattini, Davide Fucci, Sira Vegas |
| 2024 | Data Analysis Tools Affect Outcomes of Eye-Tracking Studies. Timon Dörzapf, Norman Peitek, Marvin Wyrich, Sven Apel |
| 2024 | Data extraction for systematic mapping study using a large language model - a proof-of-concept study in software engineering. Kátia Romero Felizardo, Igor Steinmacher, Márcia Sampaio Lima, Anderson Deizepe, Tayana Uchôa Conte, Monalessa Perini Barcellos |
| 2024 | Debugging with Open-Source Large Language Models: An Evaluation. Yacine Majdoub, Eya Ben Charrada |
| 2024 | Decoding Android Permissions: A Study of Developer Challenges and Solutions on Stack Overflow. Sahrima Jannat Oishwee, Zadia Codabux, Natalia Stakhanova |
| 2024 | DetectBERT: Towards Full App-Level Representation Learning to Detect Android Malware. Tiezhu Sun, Nadia Daoudi, Kisub Kim, Kevin Allix, Tegawendé F. Bissyandé, Jacques Klein |
| 2024 | Detecting Code Smells using ChatGPT: Initial Insights. Luciana Lourdes Silva, Janio Rosa da Silva, João Eduardo Montandon, Marcus Andrade, Marco Túlio Valente |
| 2024 | Do Developers Use Static Application Security Testing (SAST) Tools Straight Out of the Box? A large-scale Empirical Study. Gareth Bennett, Tracy Hall, Steve Counsell, Emily Winter, Thomas Shippey |
| 2024 | Do Test and Environmental Complexity Increase Flakiness? An Empirical Study of SAP HANA. Alexander Berndt, Thomas Bach, Sebastian Baltes |
| 2024 | Documenting Ethical Considerations in Open Source AI Models. Haoyu Gao, Mansooreh Zahedi, Christoph Treude, Sarita Rosenstock, Marc Cheong |
| 2024 | Edge-AI Assurance in the REBECCA Project. Clara Ayora, Arturo S. García, Jose Luis de la Vara |
| 2024 | Effective Inclusion of People with Disabilities in Software Development Teams. Thayssa A. da Rocha, Cleidson de Souza, Luciano Teran, Marcelle Mota |
| 2024 | Empirical Evaluation of Frequency Based Statistical Models for Estimating Killable Mutants. Konstantin Kuznetsov, Alessio Gambi, Saikrishna Dhiddi, Julia Hess, Rahul Gopinath |
| 2024 | Enhancing Change Impact Prediction by Integrating Evolutionary Coupling with Software Change Relationships. Daihong Zhou, Jiyue Zhang, Ping Yu, Wunan Guo |
| 2024 | Evaluating Large Language Models in Exercises of UML Class Diagram Modeling. Daniele De Bari, Giacomo Garaccione, Riccardo Coppola, Marco Torchiano, Luca Ardito |
| 2024 | Evaluating Software Modelling Recommendations: Towards Systematic Guidelines for Modelling. Shalini Chakraborty, Grischa Liebel |
| 2024 | Evidence-Based Commit Message Generation with Deep Learning Techniques (EvidenCoM). Sira Vegas, Xavier Ferré, Hongming Zhu |
| 2024 | Exploring LLM-Driven Explanations for Quantum Algorithms. Giordano d'Aloisio, Sophie Fortz, Carol Hanna, Daniel Fortunato, Avner Bensoussan, Eñaut Mendiluze Usandizaga, Federica Sarro |
| 2024 | FRINGE: context-aware FaiRness engineerING in complex software systEms. Fabio Palomba, Andrea Di Sorbo, Davide Di Ruscio, Filomena Ferrucci, Gemma Catolino, Giammaria Giordano, Dario Di Dario, Gianmario Voria, Viviana Pentangelo, Maria Tortorella, Arnaldo Sgueglia, Claudio Di Sipio, Giordano d'Aloisio, Antinisca Di Marco |
| 2024 | From Literature to Practice: Exploring Fairness Testing Tools for the Software Industry Adoption. Thanh Nguyen, Maria Teresa Baldassarre, Luiz Fernando de Lima, Ronnie de Souza Santos |
| 2024 | From Struggle to Simplicity with a Usable and Secure API for Encryption in Java. Ehsan Firouzi, Ammar Mansuri, Mohammad Ghafari, Maziar Kaveh |
| 2024 | Game Software Engineering: A Controlled Experiment Comparing Automated Content Generation Techniques. Mar Zamorano, África Domingo, Carlos Cetina, Federica Sarro |
| 2024 | Gamification of a BPMN Modeling Course: an Analysis of Effectiveness and Student Perception. Giacomo Garaccione, Riccardo Coppola, Luca Ardito, Marco Torchiano |
| 2024 | Good things come in three: Generating SO Post Titles with Pre-Trained Models, Self Improvement and Post Ranking. Duc Anh Le, Bui Thi Mai Anh, Phuong T. Nguyen, Davide Di Ruscio |
| 2024 | Is generalisation hindering the adoption of your findings? Rogardt Heldal |
| 2024 | M-score: An Empirically Derived Software Modularity Metric. Ernst Pisch, Yuanfang Cai, Rick Kazman, Jason Lefever, Hongzhou Fang |
| 2024 | MOOD: Mindfulness fOr sOftware Developers. Simone Romano, Giuseppe Scanniello, Alessandro Marchetto, Paolo Giorgini, Gloria Guidetti, Daniela Converso, Sara Viotti |
| 2024 | MSR4SBOM: Mining Software Repositories for enhanced Software Bills of Materials. Giuseppe Scanniello, Massimiliano Di Penta, Simone Romano, Rita Francese, Sabato Nocera, Pietro Cassieri, Daniele Bifolco, Fiorella Zampetti |
| 2024 | Mitigating Data Imbalance for Software Vulnerability Assessment: Does Data Augmentation Help? Triet Huynh Minh Le, Muhammad Ali Babar |
| 2024 | Multi-language Software Development in the LLM Era: Insights from Practitioners' Conversations with ChatGPT. Lucas Aguiar, Matheus Paixão, Rafael Augusto Ferreira do Carmo, Edson Soares, Antonio Leal, Matheus Freitas, Eliakim Gama |
| 2024 | Negative Results of Image Processing for Identifying Duplicate Questions on Stack Overflow. Faiz Ahmed, Suprakash Datta, Maleknaz Nayebi |
| 2024 | On the Accuracy of Effort Estimations based on COSMIC Functional Size Measurement: A Case Study. Ersin Ersoy, Selami Bagriyanik, Hasan Sözer |
| 2024 | On the Creation of Representative Samples of Software Repositories. June Gorostidi, Adem Ait, Jordi Cabot, Javier Luis Cánovas Izquierdo |
| 2024 | Optimizing the Utilization of Large Language Models via Schedule Optimization: An Exploratory Study. Yueyue Liu, Hongyu Zhang, Zhiqiang Li, Yuantian Miao |
| 2024 | Preliminary Insights on Industry Practices for Addressing Fairness Debt. Ronnie de Souza Santos, Luiz Fernando de Lima, Maria Teresa Baldassarre, Rodrigo O. Spínola |
| 2024 | Proceedings of the 18th ACM/IEEE International Symposium on Empirical Software Engineering and Measurement, ESEM 2024, Barcelona, Spain, October 24-25, 2024 Xavier Franch, Maya Daneva, Silverio Martínez-Fernández, Luigi Quaranta |
| 2024 | PromptLink: Multi-template prompt learning with adversarial training for issue-commit link recovery. Yang Deng, Bangchao Wang, Zhiyuan Zou, Luyao Ye |
| 2024 | Reducing Events to Augment Log-based Anomaly Detection Models: An Empirical Study. Lingzhe Zhang, Tong Jia, Kangjin Wang, Mengxi Jia, Yong Yang, Ying Li |
| 2024 | Reevaluating the Defect Proneness of Atoms of Confusion in Java Systems. Guoshuai Shi, Farshad Kazemi, Michael W. Godfrey, Shane McIntosh |
| 2024 | Rusty Linux: Advances in Rust for Linux Kernel Development. Shane K. Panter, Nasir U. Eisty |
| 2024 | Sustaining Maintenance Labor for Healthy Open Source Software Projects through Human Infrastructure: A Maintainer Perspective. Johan Linåker, Georg J. P. Link, Kevin Lumbard |
| 2024 | Threats to Validity in Software Engineering - hypocritical paper section or essential analysis? Patricia Lago, Per Runeson, Qunying Song, Roberto Verdecchia |
| 2024 | Towards Automated Continuous Security Compliance. Florian Angermeir, Jannik Fischbach, Fabiola Moyón, Daniel Méndez |
| 2024 | Understanding Fairness in Software Engineering: Insights from Stack Exchange Sites. Emeralda Sesari, Federica Sarro, Ayushi Rastogi |
| 2024 | Unsupervised and Supervised Co-learning for Comment-based Codebase Refining and its Application in Code Search. Gang Hu, Xiaoqin Zeng, Wanlong Yu, Min Peng, Mengting Yuan, Liang Duan |
| 2024 | What Makes Programmers Laugh? Exploring the Submissions of the Subreddit r/ProgrammerHumor. Miikka Kuutila, Leevi Rantala, Junhao Li, Simo Hosio, Mika Mäntylä |
| 2024 | What do we know about Hugging Face? A systematic literature review and quantitative validation of qualitative claims. Jason Jones, Wenxin Jiang, Nicholas Synovic, George K. Thiruvathukal, James C. Davis |